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Constrained CTC Decoding for Efficient Diacritic Restoration

Research Speech Processing

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TL;DR - A constrained CTC method restores Arabic diacritics from speech and undiacritized transcripts more efficiently than a multimodal baseline. It significantly reduces diacritic error rates on both Classical and Modern Standard Arabic benchmarks.

  • Uses non-autoregressive CTC for speech-to-text diacritization.
  • Builds a character-level lattice from the transcript to restrict decoding to valid diacritized forms.
  • Evaluated on the ArVoice and ClArTTS test sets.
  • Delivers both accuracy and computational-efficiency gains over a more complex multimodal approach.

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Constrained CTC Decoding for Efficient Diacritic Restoration

arXiv cs.CL Rufael Marew, Amr Keleg, Hanan Aldarmaki 2026-07-21 arXiv:2607.18946
Public signals Hugging Face upvotes 1
Providers: Hugging Face · Upvotes 1 OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-08-21 14:39:06.278136 UTC

TL;DR - A constrained CTC method restores Arabic diacritics from speech and undiacritized transcripts more efficiently than a multimodal baseline. It significantly reduces diacritic error rates on both Classical and Modern Standard Arabic benchmarks.

  • Uses non-autoregressive CTC for speech-to-text diacritization.
  • Builds a character-level lattice from the transcript to restrict decoding to valid diacritized forms.
  • Evaluated on the ArVoice and ClArTTS test sets.
  • Delivers both accuracy and computational-efficiency gains over a more complex multimodal approach.
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